Zehua Cheng
Biography
I am a DPhil candidate in Computer Science at the University of Oxford, doing interdisciplinary research between Artificial Intelligence and Drug Discovery, supervised by Professor Thomas Lukasiewicz in Intelligent Systems Lab. Recently, I am working on a project about Drug Discovery and Multi-Modal Deep Learning applications.
Selected Awards
- First Prize at ACM. MM GrandChallenge in Multi-Modal Video Identification Track in 2019
- First Prize at AWS Self-driving car racing challenge in 2021
Selected Publications
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Hybrid Learning System for Large−scale Medical Image Analysis
Zehua Cheng and Lianlong Wu
In Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence‚ IJCAI−ECAI 2022‚ Vienna‚ Austria‚ July 23−29‚ 2022. IJCAI/AAAI Press. July, 2022.
Details about Hybrid Learning System for Large−scale Medical Image Analysis | BibTeX data for Hybrid Learning System for Large−scale Medical Image Analysis
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Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment
Bo Li‚ Zehua Cheng‚ Zhenghua Xu‚ Wei Ye‚ Thomas Lukasiewicz and Shikun Zhang
In Proceedings of the 2019 IEEE International Conference on Acoustics‚ Speech and Signal Processing‚ ICASSP 2019‚ Brighton‚ UK‚ May 12−17‚ 2019. IEEE Computer Society. May, 2019.
Details about Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment | BibTeX data for Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment | Link to Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment
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Segmentation is All You Need
Zehua Cheng‚ Yuxiang Wu‚ Zhenghua Xu‚ Thomas Lukasiewicz and Weiyang Wang
2019.
Details about Segmentation is All You Need | BibTeX data for Segmentation is All You Need | Link to Segmentation is All You Need